Comparing In-House Banking and SAP In-House Cash
Running payments and managing cash efficiently is a challenging and often costly task for organizations.
Unified Data. Embedded AI. Real Outcomes. | Thorsten Freitag
How do applications, data, and AI truly come together to power an intelligent enterprise? Thorsten Freitag, Chief Innovation Architect at SAP, discusses this in the latest episode of Trending Chats.
š§ More episodes of the Trending Chats podcast:
Watch on YouTube: https://sap.to/6050Cr6Qi
Listen on Spotify: https://sap.to/6052Cr6QY
Listen on Apple Podcasts: https://sap.to/6053Cr6Ql
#TrendingChats #SAPBusinessAI
How SMEs Thrive on SAP Business Network | With SAP Customer, Unite | B2B Exchange
Good news for SMEs: Zachary Rubio Grundell from SAP customer Unite shares how businesses can grow and thrive on a B2B network, where supply and demand meet.
The Most Overlooked Key to CX Success | Shirish Shrinet
The ābestā CX isnāt one channel ā itās the right mix.
Shirish Shrinet breaks down how automation and human support work together to create better experiences.
Learn more about customer experience solutions from SAP: https://sap.to/6054Cr8Bp
š§ More episodes of the Trending Chats podcast:
Watch on YouTube: https://sap.to/6055Cr8BV
Listen on Spotify: https://sap.to/6056Cr8Bn
Listen on Apple Podcasts: https://sap.to/6057Cr8BX
#TrendingChats #CX #AI
AI on the Front Line: SAPās Strategy for Customer Support
Weāre witnessing the AI revolution in customer support as it happens.
From decades of customer support defined by reaction to calls, tickets, or queues, to the evolution of proactive support with pre-AI digital platforms, to the current AI-powered ecosystem that is redefining how support teams strategize, operate, and deliver resolutions. AI-enabled support anticipates needs, predicts failures, and delivers instant, seamless resolutions at scale.
And most importantly, this shift is as transformational as it is technological.
Keeping pace with transformation
As customers navigate complex and ambitious transformation projects, whether itās moving to the cloud, scaling AI, or modernizing complex operations, there is always a quiet mandate: systems supporting critical business processes must run smoothly because the costs of downtimes have never been higher.
For businesses, uninterrupted operations are non-negotiable. SAPās AI-driven support can anticipate issues before they arise, helping to ensure critical processes run smoothly, even during high-volume peak events. SAP uses SAP Business AI to help prevent issues proactively, working to ensure a smooth experience by avoiding system outages, platform scalability issues, data overloads, or service overloads. During the peak sales event of Cyber Week 2024, SAP achieved 100% uptime for SAP Commerce Cloud customers. As the Cyber Week 2025 numbers come in, we already have delivered 100% uptime and improved GMV for global sales events like Singles Day (GMV reached ā¬7,108.72M, or +180.2% YoY, with 6,315.99K orders, or +46.4% YoY) and El Buen Fin (GMV hit ā¬12,341.70M, or +13.18% YoY, and 10,385.74K orders, or +32.24% YoY).
Scaling self-service with AI
Structured knowledge and curated content enable SAP to build AI and AI agents with high confidence levels. Today, over 82% of customer issues are addressed via self-service. This allows users to get instant resolution to issues or bridge knowledge gaps they face during the use, implementation, and continuous improvement of SAPās solutions.
AI in instant response and resolution
When it comes to delivering instant response and resolution in customer support, the impact of AI-integrated services is remarkable. When SAPās Auto Response Agent is highly confident of the solution, based on the underlying data and knowledge, it can deliver highly relevant solutions that can save customers significant time and effort. Additionally, the first contact resolution rate for cases answered automatically by the agent is at par with what human-human support interactions achieve.
Supporting SAP Business AI
SAP Business AI supportability is all about making AI real for customers through the right systems that drive successful adoption. As SAP delivers AI capabilities across its portfolio, we enable customers to have the right support when they encounter issues in early deployment.
As customers scale AI across their organizations, we have concrete processes and tools to help support them, so they can deploy new AI with the utmost confidence. For example, the Incident Solution Matching service is integrated with SAP Joule for Consultants, allowing efficient support information retrieval and helping to eliminate the hassle of searching through vast amounts of SAP documentation.
Empowering support engineers with AI
AI is not just transforming customer outcomes, itās also transforming how our engineers and experts deliver precision and speed, freeing them from logistical tasks so they can focus on support requests that need specialized attention. Thanks to SAPās AI-integrated self-service offerings, weāre able to instantly resolve customer issues four out of the five times they come to us.
AI-powered solution recommendations in self-service can eliminate the need for at least 10% of the cases being created. This is a big win for human-generated knowledge being delivered by AI-generated tools. Every third case gets submitted with an AI-recommended product component for optimal routing and faster processing.
In SAPās multi-location, multilingual, global setup, standardized communication is key. Around 10% of responses by support engineers take advantage of SAPās AI-assisted language optimization services.
Thereās more. We have agentic case resolution, AI-assisted creation of SAP Knowledge Base Articles, and automatic error categorization, covering use cases that help our engineers deliver their best work with greater accuracy and higher quality.
And, of course, SAP runs its own products and solutions, serving as a first reference for our customers. As Dr. Benjamin Blau, SAPās Chief Process and Information Officer, puts it: āThis is āSAP runs SAPā in action. As customer zero, we validate every AI innovation in real-world complexity before it reaches you. Weāve architected this multi-agent AI on our own SAP Business Technology Platform, including the SAP AI Core foundation, and our service and support data lake.Ā Agentic case resolution is a blueprint for enterprise-grade, responsible AI, proving the power and maturity of the SAP Business AI portfolio, empowering customers with faster resolutions for an elevated experience.ā
Will AI replace support teams?
Short answer: No.
To elaborate, letās take the example of an AI agent that automatically responds to customers. SAPās instant response and resolution are only activated when the system is very confident with its response. Our commitment to the relevant, reliable, and responsible use of AI helps ensure that thereās no experimentation with customer cases that deserve hands-on attention from engineers and experts. The legacy of trust that SAP has earned over 50 years of industry leadership, which is also trusted by 90% of Fortune 500 companies, drives this rigor applied to AI.
What does this mean for our engineers? Any move to augment our work with AI is not about replacing people. Itās about freeing time, energy, and creative space to focus on high-impact tasks that need critical thinking and human insight. AI amplifies human expertise. Customers benefit from this blend of machine intelligence and human insight, ensuring every solution is relevant and responsible.
Itās also important to highlight that SAP is a growth company. The use of technology helps us deliver what customers expect from support teams and build ongoing knowledge that feeds AI systems for intelligent decision-making, also meeting the future demands of AI-augmented support.
Yes, the world is witnessing role reductions across the industry with the adoption of AI in business workflows, but we also see the emergence of critical new roles that help us navigate the current reality. How many of us had heard of AI trainers or carbon accountants 15 years ago?
These are exciting times for innovation. SAPās partnerships, such as our collaboration with Databricks and Snowflake, empower developers to turn business data and AI into real business outcomes.
Weāre truly at the crossroads of innovation and transformative tools that can turn imagination into impact. SAPās Chief Technology Officer, Philipp Herzig, summarizes it perfectly: āAI is transforming business at every level, but itās people who turn transformation into progress. With SAP Business AI, weāre combining the best of human ingenuity and machine intelligence to deliver impact that matters.ā
Stefan Steinle is executive vice president and head of Customer Support & Cloud Lifecycle Management at SAP.
EDiSON: The SAP-Powered Natural Disaster Mitigation Tool
As the world increasingly demands action on climate change, SAP is advancing its disaster prevention and mitigation platform, EDiSON, in collaboration with key partners. Combining Japanās longstanding expertise in the field with technologies such as SAP BTP and its AI tools, SAP is expanding this initiative globally to address the urgent, planet-wide challenges of climate change. https://sap.to/605479TiM
What’s New in SAP Analytics Cloud | Deep Dive with Product Experts | Q4 2025
Join Product Marketing Manager Orla Cullen as she walks through the feature highlights from SAP Analytics Cloud’s Q4 2025 update.
00:00 Intro
00:26 Admin & Service Management
00:31 Home screen renewal – enhancements
04:00 Horizon theming availability
06:21 My Metrics for KPIs Monitoring (fka Watchlist)
10:21 Model Size Statistics and Analysis
13:42 Data Analyzer
13:47 Data Analyzer enhancements
18:49 Data Modeling
18:54 Data Export API ā Master Data Hierarchies
22:53 Enterprise Planning
22:58 Compass: support for Seamless Planning
25:20 Data Actions: automatic dimension mapping for cross-model copy
26:58 Data Actions: input control binding for data action script object
27:48 Data Actions: sort parameters in the starter
28:12 Plan Entry: clean and replace for data file upload
30:37 Scheduling & Process Management: factory calendar
34:59 Live Versions in Planning
39:58 Validation Rules: extending single dimension reuse to 25 rules
40:18 Version Management: API to delete private versions
41:03 Version management: undo/redo on shared private versions
43:15 Microsoft Office Add-in
43:20 Microsoft Office Add-in (Excel)
51:42 Story Design
51:47 Named Color Palette
57:32 Story Extensibility
57:37 Add Hyperlink Support to Button Widget
59:26 Code-free configuration of pop-up open and close in story design time
1:01:41 Bookmark enhancement: enabling global bookmark creation without story edit permission
1:05:19 Providing script APIs to add, remove, and modify chart variance
1:08:36 Composites: Supporting where-used list functionality
1:11:10 Automatic Exposure of Script Object Functions for Reuse Across Multiple Stories
1:14:17 CSS enhancements : CSS class picker in styling panel
1:15:57 CSS enhancements: box-shadow and border-radius support for widgets in stories
1:17:30 Custom widgets: supporting account hierarchies in builder panel
1:18:21 Custom widgets: supporting dimension and measure input control
1:19:26 User Collaboration
1:19:31 Scheduling a story based on a SAP Datasphere live connection
1:22:35 Outro
For more on SAP Analytics Cloud, check out the release highlights page at https://sap.to/60567g7FE
Introducing the Performance & Goals AI Agent in SAP SuccessFactors | 2H 2025 Release Highlights
See how the new Performance & Goals Agent in SAP SuccessFactors helps managers prep for reviews in minutes using SAP Business AI.
In this 2H 2025 release highlight, SAP SuccessFactors Performance & Goals introduces new capabilities that use SAP Business AI and automation to transform how managers prepare for performance discussions. Senior Director of Product Management Geoff Fettner shares how the new Performance & Goals Agent helps managers save time while improving the quality of every people conversation.
Starting with a simple request in Joule, the agent analyzes employee data such as goals, feedback, and past reviews to generate a clear summary of each employeeās overall performance. In just a few moments, managers get an at-a-glance view of strengths, development areas, and trends, so they can spend less time digging through forms and more time preparing for meaningful dialogue.
Because the agent is connected to your business data, it can also provide tailored insights into specific areas for improvementāplus smart suggestions on how employees can develop and reach their goals. Managers can even ask the agent to create short, clear talking points to guide respectful, confidence-building feedback conversations.
The video also introduces new business rules integration in the performance management form. With powerful conditional logic, your performance forms can automatically adapt in real time based on rating values and other conditionsāfor example, exposing additional fields or adding another reviewer if a very low rating is given. This helps organizations drive more consistent, fair, and compliant performance reviews while saving time for managers and HR.
Together, these innovations help organizations modernize performance management with AI-driven insights, dynamic forms, and guided conversations, all embedded in SAP SuccessFactors Performance & Goals as part of the broader SAP SuccessFactors Human Experience Management suite.
0:08 – Introduction
0:52 – Performance and Goals Agent
2:17 – Integrated business rules in performance management
3:03 – Closing
Learn more about SAP SuccessFactors Performance & Goals: https://sap.to/60547ZxZE
#SAPSuccessFactors #PerformanceManagement #BusinessAI
Developer Demo: SAP Knowledge Graph | SAP HANA Cloud + LLM Q&A | SAP TechEd 2025
See how SAP HANA Cloudās Knowledge Graph powers LLM-ready Q&A ā grounded in real business context and SAP data.
In this keynote demo for developers, we show how to activate the triple store in SAP HANA Cloud and use the Knowledge Graph engine to model relationships (people, demos, capabilities) as RDF triples, then query them with natural language. The ontology captures who is presenting which demos and which SAP capabilities they cover; SAP HANA stores it as triples and exposes it for SPARQL queries.
To make this practical, we connect a Python package to the same SAP HANA instance, instantiate the graph, and route a plain-English question through an LLM available via SAP AI Core / Generative AI Hub. The model auto-generates SPARQL, executes it against SAP HANA, and returns precise answers (including links, thanks to RDF). This pattern, graph semantics + LLM planning, grounds AI with business context to reduce hallucinations and improve answer quality.
We also touch on how SAPās broader data fabric makes this stronger: SAP Business Data Cloud innovations and SAP Snowflake (as a solution extension) help keep data where it lives while sharing semantics and governance ā so graphs, agents, and analytics can work across your landscape without brittle copies.
Speaker: Witalij Rudnicki, Developer Advocate, SAP
00:03 – Setup: Why use SAP HANA Cloud + SAP Knowledge Graph
00:11 – Activate triple store; load ontology & triples
01:19 – Connect via Python; instantiate the graph
01:42 – Use SAP AI Core LLM to generate SPARQL from natural language
02:23 – Answers returned; RDF links to web resources; wrap
Watch all SAP TechEd replays: https://sap.to/605973CBd
Explore SAP Knowledge Graph: https://sap.to/605073CBe
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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/605773CBl
#SAPTechEd #SAPHANA #KnowledgeGraph
End-to-End Demo: Transform Business Operations with SAP Business Suite | SAP Connect
See how SAP Business Suite connects every part of your enterpriseāturning data, AI, and processes into real business outcomes.
In this end-to-end demo, discover how SAP Business Suite brings together applications, data, and AI to transform how organizations run. From finance and supply chain to HR and customer experience, the suite delivers unified visibility and intelligence across the entire enterpriseāempowering business leaders to make faster, data-driven decisions.
00:00 – Introduction
00:42 – Unified Business Processes
02:05 – AI and Data Integration
03:45 – Real-Time Insights for Leaders
05:10 – End-to-End Demo in Action
06:40 – Key Outcomes and Next Steps
Youāll see how integrated processes streamline workflows, reduce complexity, and deliver agility at scale. With built-in AI agents, predictive analytics, and industry best practices, SAP Business Suite enables organizations to adapt in real timeāhelping leaders move from reaction to readiness.
Youāll see how SAP S/4HANA Cloud anchors core operations with real-time data and automation, while SAP Business Technology Platform (BTP) unifies data from across the business to power innovation. The demo showcases SAP Build for low-code process automation, SAP Analytics Cloud for predictive insights and visualization, and SAP Integration Suite connecting SAP and non-SAP systems for seamless data flow. Together, these solutions demonstrate how the SAP Business Suite helps leaders accelerate outcomesāfrom intelligent forecasting and financial planning to adaptive supply chain management and employee engagement.
SAPās Business Suite is built on the SAP Business Technology Platform, combining enterprise-grade security with the flexibility to integrate SAP and non-SAP applications seamlessly. The result? Smarter, more connected operations that drive resilience and innovation.
Watch the full Opening Keynote: https://sap.to/6055AqqQL
Watch all SAP Connect replays: https://sap.to/6056AqqQ0
Explore SAP Business Suite: https://sap.to/6057AqqQF
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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6052AqqQA
#SAPConnect #SAPBusinessSuite #AI